Splunk has a relatively simple search language that can be used by both beginners and experts to directly query big data sets.

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The simplest approach may be through the technology offered by Splunk, which has its own search language that allows you to search through big data, identify useful query types, and express your developing understanding of the structure of the data as you search.

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When they sell it, the entity who buys it now will be looking to query with other data and this is where the flawed data and Algo duping appears as who knows what other linear or non linear data will be rolled in here.

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It takes an employee, deciding that the loss of high-value customers is important, to run a query of all their data and find him, and then turn that into a business advantage.

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Analysts call this a virtual database because it can query and analyze without moving any of the data out of position.

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The search query is also restricted to mining data from friends and open profiles on Facebook, and this is a much smaller pool compared to Yelp.

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Using the HANA in-memory data engine, salespeople can use BusinessObjects Explorer to query and drill into 12 million active customer records and 700 million historical records in real-time, versus the 4-5 hours it used to take to run a report.

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If you want to run not one query but a thousand per second, you need very high throughput and higher efficiency in data processing.

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By entering certain strings of text into user input boxes on Web sites, cybercriminals are able to confuse their commands with data in a site's Structured Query Language (SQL) database and gain control of it, says Grossman.

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